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and are looking for a Researcher who has the following skill sets: tertiary qualifications in Medical Informatics, Computer Science, Machine Learning / Deep Learning / AI (or near completion) PhD
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University of Western Sydney | The University Of Sydney, New South Wales | Australia | about 2 hours ago
! The Postdoctoral Research Fellow will work on an ARC Discovery Grant (DP220100795) aimed at the development of physics-aware machine learning models for spatially explicit fire risk forecasting in Southeast
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, machine learning, remote sensing and silviculture to transform and upscale forest phenotyping operations. The role will be supervised by Dr. Mitch Bryson, who currently leads the Forestry Research group
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and publications, will be key to your success in this role. You will also have: A PhD in computer science or closely related discipline; A record of high-quality algorithmic research in machine learning
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Organisation. The multidisciplinary school boasts active research groups in fields such as discrete mathematics, geometry, applied mathematics, fluid dynamics, and machine learning, and supports extensive
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), psychophysical methods, computational neuroscience methods, machine learning and modelling. Our studies utilise various haptic devices, and mechanical and electrical stimulators. Key skills required: PhD
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statistical modelling such as machine learning methods and demonstrated experience in the handling and analysis of big data would be highly desired. The successful applicant will also demonstrate personal
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in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine
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You Completion (level A and B) or near completion (level A) of a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data. Demonstrated expert
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nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis